Course: UoIceland Teaching
Abstract
The course is part of teaching courses of the University of Iceland. It aims to provide practical insights into some data mining & machine learning approaches/algorithms (e.g. Apache Mahout [1]) in combination with (batch) execution frameworks (e.g. HPC, Apache Hadoop/HTC [2], Twister [3], etc.). I could offer practical insights into some data mining&machine learning approaches/algorithms (e.g. Apache Mahout [1]) in combination with (batch) execution frameworks (e.g. HPC, Apache Hadoop/HTC [2], Twister [3], etc.).
Intellectual Merit
In order to understand the theoretical approaches of statistical data mining & machine learning the students require to learn hands-on experience with real data and real frameworks.
Broader Impact
Findings of student projects on the resources will be brought into the Research Data Alliance (RDA) Big Data Analytics Group that is chaired by this project coordinator. FutureGrid will be references and cited in each of the findings we present there.
Use of FutureGrid
The Project coordinator is an adjunct associated professor of the University of Iceland. Master and PhD Students should get Hands-on experience with Apache Hadoop and Mahout, Twister, etc. and other data mining/machine learning approaches in combinoation with (Batch) execution environments.
Scale Of Use
For a couple of weeks for a class (~20 students)
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